Sports · Part Five · The Whole Athlete and the Team

60THE VISIT

Lesson 60 / 64

The Performance Assessment

The performance assessment is where elite care begins: a full-system reading of the athlete before a single hand is laid.

A performance assessment is the appointment where an athlete's readings are taken and written down together: the history, the movement under the sport's own demands, and the state of the nervous system. Nothing on the sheet forecasts injury. What it produces is a reference line a season can be read against. The Unified Model of Tone reads those readings as windows onto one regulatory state.

Movement screen and injury

Pooled risk ratio 1.47

Load metrics recorded

26 reduced to 4 components

Within-athlete variation

CV 1.7 to 36.3 percent

Athletes given feedback

44 percent said not enough

The performance assessment.

A structured baseline reading of the whole athlete. History, sport-specific biomechanics, autonomic state and neurological function, written down as measured values in one sitting and scored against the same athlete's earlier readings rather than a population range.

Why the readings are taken together.

Four readings of one nervous system move on different timescales. Recorded on the same afternoon they can be compared to each other. Recorded months apart they can only be compared to a crowd.

01What the measurements show

The Numbers Behind What a Performance Assessment Records

Eight findings on what a recorded reading establishes, and what it cannot.

No test predicts injury yet
Validating a screening test to predict injury takes three steps, and no test for sports injury currently has adequate test properties, Bahr 2016. No intervention study yet supports screening to select who gets the program. A baseline is a reference line rather than a forecast.
Pooled risk ratio 1.47
Twenty-four prospective cohorts of the Functional Movement Screen were appraised, Moran 2017. In male military personnel a composite score at or below 14 carried a pooled risk ratio of 1.47, with a 95 percent confidence interval of 1.22 to 1.77. The authors rate that association small and advise against using the score to predict injury.
Repeatable and still not predictive
A separate meta-analysis of the same screen pooled an intraclass correlation of 0.81 both within and between raters, and odds of 2.74 for injury at a score of 14 or below, Bonazza 2017. The authors record flaws in internal and external validity. Repeatability and forecasting are different properties.
Average beat best of set
Across 151 articles yielding 531 effect sizes, average countermovement jump height detected fatigue and supercompensation more sensitively than the highest jump of the set, Claudino 2017. Eighty-five percent of published work used the highest. The best effort hides the state the visit is trying to read.
26 metrics, 4 components
One Division I soccer squad of 28 players supplied 26 objective load metrics across a 12 week season, Coppus 2022. A principal components analysis returned a four component solution accounting for 46, 32, 16 and 6 percent of the variance. What a program records is wider than what it measures.
68 percent on one component
Five load measures taken on 17 professional rugby league players across two preseasons were analyzed by training mode, Weaving 2014. Small-sided games loaded onto a single component explaining 68 percent of the variance and conditioning onto one explaining 52 percent. Four other modes needed two components.
CV 1.7 to 36.3 percent
Eighty-eight professional soccer players ran standardized game formats across three seasons, and within-player variation in total distance ranged from 1.7 to 36.3 percent, Clubb 2022. High speed running ran from 51 to 103 percent with reliability as low as 0.03. The authors conclude reliability has to be calculated per athlete.
44 percent got no feedback
Thirty elite practitioners representing 599 athletes described their monitoring systems, and 83 percent ran one, Neupert 2022. Forty-four percent reported that athletes did not receive sufficient feedback, and some said the data was never discussed with the athlete at all. A reading nobody returns is a reading nobody uses.

02What the visit records

The Performance Assessment Records the Whole Athlete in One Sitting

A performance assessment is one appointment that ends with a written map of an athlete. It answers a single question before any care begins. What is this athlete capable of right now, and what is holding the ceiling down.

The visit runs in a fixed order. History first, then sport-specific biomechanics and neurological testing, then the write-up that leaves the room with the athlete. History comes first because it carries most of the yield, a result the screening literature has produced repeatedly and The Pre-Participation Exam reports in full. The story tells most of the diagnosis. The exam confirms it.

Every finding is documented as a number, not an impression, so the next visit and the one a season later have something exact to compare against. A baseline that cannot be measured cannot be improved. The instrument list is ordinary: a goniometer, a foam pad, a stopwatch, a reflex hammer, a jump mat and a heart rate monitor.

Why the readings are taken on the same afternoon

Recording four readings in one sitting is the point of the appointment rather than a scheduling convenience. Readings taken on the same afternoon can be compared to each other. Readings taken months apart can only be compared to a population, and a population is not the athlete in the room.

How much a set of readings actually contains is measurable. When 26 objective load metrics from a college soccer season went into a principal components analysis, four components carried 46, 32, 16 and 6 percent of the variance Coppus 2022. A program that records 26 numbers is not holding 26 independent pieces of information.

That result reframes what a long assessment sheet is for. The value sits in the relationships between the readings, and a relationship can only be read when the readings share a date.

What this visit is and what it is not

Clearance to compete is a different appointment with a different purpose, and its yield figures, cardiac screening debate and connective tissue screen belong to The Pre-Participation Exam. The measurement properties of each neurological instrument, the reliability coefficients and the change a score must clear before it means anything, belong to The Functional-Neurology Workup.

What remains is the appointment itself. What gets written down, in what order, against what reference, and who reads it afterward. The practice runs no X-ray or MRI unit, so imaging is ordered elsewhere and interpreted here, and Imaging the Athlete covers when a picture is the right instrument.

03History and self-report

The Athlete's Own Report Is an Instrument, and It Gets Written Down Like One

The history is the first measurement of the visit rather than the paperwork in front of it. The mechanism of every prior injury, the training load, the sleep, the surgical record and the specific demands of the sport all get mapped before a hand is laid on the athlete.

Two athletes make that reading hard in opposite directions. The athlete who minimizes a problem to stay in the game is read as carefully as the one who over-reports. Both are giving accurate information about something, and the assessment records the report and the reason for it.

Self-report is the most widely used monitoring tool in elite sport. Across 30 practitioners representing 599 athletes in the United Kingdom, 83 percent ran a monitoring system, and athlete self-report measures were the most commonly employed tool in it Neupert 2022. Muscle soreness, sleep and energy levels were the items collected most often.

Why the report is not scored against the machine

Self-reported and instrument-measured readings of the same athlete do not track each other closely, a result pooled across 56 studies and carried in full by Tone and the Athlete's Edge. The visit treats that as two kinds of information rather than one right answer and one wrong one.

The distinction has a name in sport science. External load is what the athlete did, measured in distance, repetitions and time. Internal load is how that work landed on the athlete, measured in perceived exertion and physiological response. The framework was introduced in 2003 and restated with sharper definitions in 2019 Impellizzeri 2019.

Sleep and training load enter the history as external quantities and leave the visit as internal ones. Sleep and the Athlete carries the sleep evidence and Injury Prevention and Load Management the load-ratio literature with its critiques.

Where self-report breaks, and it is rarely the athlete

Interviews with 30 athletes, coaches and sports science staff across 20 sports programs found that what decides whether a self-report measure works is the measure itself and the social environment around it Saw 2015. Accessibility and timing of completion sat on one side, buy-in and reinforcement on the other.

The same survey of United Kingdom practices found the failure plainly. Forty-four percent reported that athletes did not receive sufficient feedback, and some said the collected data was never discussed with the athlete or the coach Neupert 2022. Data taken and not returned trains an athlete to stop answering carefully.

The performance assessment closes that loop in the same appointment. The athlete hears what the readings said before leaving, which is also what makes the next set of answers worth recording. How an injury mechanism is taken and classified belongs to Injury Assessment and Analysis.

04Sport-specific biomechanics

Movement Is Screened Through the Sport's Own Demands, and No Screen Forecasts an Injury

The biomechanical layer of the performance assessment reads how force travels through the body during the movements the sport actually demands. A golfer is screened through the swing, a sprinter through ground contact, a lifter through the catch position, because a generic exam misses sport-specific failure.

The readings are the ones that hold still enough to repeat. Joint position sense error in degrees, single-leg balance dwell time, hip and ankle mobility, and range measured against the contralateral side. Quantifying movement quality this way converts how it feels into what it is, and those numbers become the dashboard every subsequent session reads from.

Asymmetry is the signal the exam hunts. A side-to-side difference in strength, range or proprioceptive accuracy marks where the athlete is already organizing around something. The body compensates around a restricted segment until the compensation itself becomes the injury.

What a movement screen establishes, and what it does not

The screen records the present, not the future. Validating any screening test to predict injury takes three demonstrated steps, and no test for sports injury currently has adequate test properties Bahr 2016. There is also no intervention study showing that treating the athletes a screen flags beats giving the same program to everyone.

The most widely used movement screen in sport shows both halves of that. Pooling 24 prospective cohorts, a composite score at or below 14 carried a risk ratio of 1.47 in male military personnel, with a confidence interval of 1.22 to 1.77 Moran 2017. The authors call the association small and advise against using it as a prediction tool, and they report moderate evidence against its use in soccer.

A second meta-analysis of the same screen found it repeatable. Intraclass correlation reached 0.81 both within and between raters, and the odds of injury at a score of 14 or below were 2.74 Bonazza 2017. The same paper records flaws in internal and external validity. A test can be repeatable, carry a real association, and still not tell a clinician who is next.

So the sentence about compensation stands as an observation and not as a prediction. The assessment finds where the athlete is working around something today. Asymmetry and the Dominant Side carries limb asymmetry prevalence and the symmetry index critique, and The Kinetic Chain carries the load-path argument.

Pain and movement quality are two separate readings

This layer is also where the assessment separates pain from dysfunction. An athlete can move well and hurt, or move poorly and feel fine, and the second is the more dangerous state on a field. Both get recorded, because they answer different questions.

Joint position sense error in degrees belongs to Proprioception and Joint Position Sense, ground reaction forces and joint moments to Clinical Biomechanics, and stride-interval structure to Gait and Running Mechanics.

05The neurological layer

The Neurological Layer Is What Separates a Performance Assessment From a Physical

The deepest layer of the visit is neurological, because the athletic edge is built in the nervous system and so is the fatigue that erodes it. Coordination, proprioception and resilience are not muscular properties laid on top of the nervous system. They are outputs of it.

Five things get recorded here. RMSSD, reaction time in milliseconds, oculomotor control, balance held while a cognitive task competes for attention, and reflex symmetry read left against right by one examiner. RMSSD comes from a short seated recording, and the reaction-time reading is scored on the spread of the series as well as its mean.

Together these expose the athlete's central integrative state, the moment-to-moment readiness that decides whether a body absorbs training or breaks under it. This layer locates the performance ceiling at the level of the nervous system. A clean musculoskeletal exam over a dysregulated autonomic baseline is an athlete training toward a wall they cannot feel yet.

What each reading is scored against

Every one of those numbers is scored against the same athlete's earlier values rather than a published range. Within-athlete variation is the reason. Across 88 professional soccer players running standardized game formats, within-player variation in total distance ranged from 1.7 to 36.3 percent depending on the format Clubb 2022. The authors conclude that reliability has to be calculated at the individual level.

That conclusion decides the arithmetic of the visit. A reading is compared to the spread this athlete has already shown on this instrument. Heart Rate Variability owns RMSSD methodology and the training trials, including the ones where the reading rose during adaptation and during overreaching alike.

The jump is scored on the average, not the best effort

One neuromuscular reading rounds out the layer, and how it is scored matters more than which device records it. Pooling 151 articles and 531 effect sizes, average countermovement jump height detected fatigue and supercompensation more sensitively than the highest jump of the set Claudino 2017. Eighty-five percent of the published work reported the highest.

The reason is the same one that runs through the whole visit. A best effort is a peak, and a peak hides the variability around it. The set of jumps holds the reading, and peak power, mean power, peak velocity and peak force each tracked the training effect in the same analysis.

So the visit records the average of a jump set, the variability of a reaction-time series, and the beat-to-beat structure of a heart rhythm. Three instruments, one habit: read the spread rather than the best number in it. Reaction time and its variability belong to Reaction Time and Motor Control, and eye movement control to Sport Vision and Eye Movements.

Quantitative electroencephalography sits one step further out, and Brain-Based Performance states what a recording measures and what it leaves open. Balance and vestibular scoring belong to Vestibular Balance.

06Clearance and the shared record

Clearance Is a Multifactorial Decision, and the Record Is What Makes It Shareable

Clearance is a multifactorial decision, not a signature. The assessment synthesizes the athlete's history and physical examination into a participation decision built on three things. Co-management with the right specialist when an organ system raises a clinical concern. Classification of the sport by contact level and cardiac demand. The individual athlete's full clinical picture.

The clearance framework itself, along with the cardiac screening evidence and the connective tissue screen for conditions such as Marfan syndrome, is carried by The Pre-Participation Exam. Cardiac abnormalities go to cardiology and structural red flags go to the appropriate specialist, in both cases the same day they are found.

This is peer-level work alongside the team physician, the athletic trainer and the strength coach, each reading from the same baseline. A professional organization does not want a provider working in isolation. It wants one whose assessment is rigorous enough to integrate with everyone else's.

What makes a record usable by someone who was not in the room

A reading is only as portable as the record that carries it. Athletic training moved this from good practice to a curricular requirement in 2020. Accreditation standards that year named the use of an electronic patient record to document care, mitigate error and support decision making Marshall 2020. Documentation collected routinely at the point of care can then answer questions about that practice.

The performance assessment writes to that standard. Instrument, value, units, date, and the athlete's own prior value on the same instrument. A number without those five fields cannot be read by the next clinician and cannot be compared by the same one.

Barriers to monitoring are organizational before they are technical, and the survey evidence on staffing and coach buy-in sits with Tone and the Athlete's Edge. Scope of practice, documentation duties and anti-doping compliance belong to The Medical-Legal Standard. Care here is drug free and compliant with anti-doping rules, which is a fact about the modality and matters for a competitor under testing.

Referral is instrument selection, not a retreat

Sending an athlete out is part of the assessment rather than an interruption of it. The visit produces a documented, reproducible baseline any member of the medical and performance staff can trust, which is exactly what makes a referral useful to the person receiving it. It earns the seat at the table by being the most complete reading of the athlete in the room.

How that shared work is organized across a staff belongs to Working With the Performance Team, and the standard a professional organization actually expects is set out in Care at the Highest Level.

07The living baseline

The Baseline Is Repeated, Because a Single Reading Has Nothing to Be Read Against

The performance assessment is not a one-time event. It is a baseline that lives and updates across a career. The numbers captured at the first visit become the reference line for everything after it: HRV trends, reaction time, joint position sense error and asymmetry indices.

Re-assessment turns care into a feedback loop. The visit records, then we intervene, then the readings are taken again, and the athlete's own numbers say whether anything moved. That is also how a graded return-to-play progression is governed, advancing stage by stage when the objective markers rather than the calendar say the system is ready. Return to Play carries those decision frameworks.

Why one pair of readings cannot tell you what an athlete did

Reading an individual response from a before and after pair is harder than it looks, and the statistics say why. Measurement error limits the accuracy of any response estimate, and on a single athlete a poor signal-to-noise ratio cannot be rescued by enlarging the sample Hecksteden 2015. There is no second person to average with.

The same analysis names a second source of noise that most monitoring ignores. Training efficacy varies within the same person over time, so repeating the same block on the same athlete does not reproduce the same response. Detecting that calls for repeated measurement rather than a control group.

The visit answers both by being frequent and identical. Same instruments, same order, same time of day, four times a season. A series has a spread, and a spread is what turns one number into a signal.

What the series shows that one visit cannot

Across a season the living baseline becomes the most valuable document in the athlete's file. A series shows slow autonomic drift as it accumulates, a creeping asymmetry as it widens, and a recovery curve returning to where it sat before a hard block. None of that is visible in a single afternoon.

Read afterward, the record shows what precedes a bad stretch in this athlete. That is a different claim from naming who gets hurt next, and the screening evidence above settles which of the two is available. Adaptation and Supercompensation carries overreaching, overtraining and the supercompensation evidence.

No one can coach what has not been measured, and no one can care for an athlete they have not truly read. The athlete who is measured this way is never guessing, and neither are the people who care for them. That is the difference between treating a complaint and understanding a nervous system.

08What we corrected

Four Claims Removed From This Page

This page previously said the performance assessment was built on a pre-participation examination model formalized by the American Chiropractic Board of Sports Physicians (ACBSP), and dated that consensus to 2015. Neither the attribution nor the date could be traced to a source, so both are gone. The clearance exam and the societies behind its monograph are carried by The Pre-Participation Exam.

It stated that a side-to-side difference in strength, range or proprioceptive accuracy predicts where the chain will break under load. No screening test for sports injury currently has adequate test properties Bahr 2016. The prediction claim is gone. The finding stands as a reading of where the athlete is organizing around something today.

It also said RMSSD reflects parasympathetic recovery capacity, rising as an athlete adapts and falling when load outruns recovery. Training studies have found resting values rising in both adaptation and overreaching, and Heart Rate Variability carries that literature. The one-way direction is gone.

The page carried a quotation attributed to Dr. Jason Dulberg that was not drawn from anything he said or wrote. It has been removed. Claims here are either sourced to the literature or named explicitly as the model's.

09The model's claim

The Model Predicts the Four Readings Load Onto One Factor Within the Athlete

Two things sit on the assessment sheet and only one of them comes from the literature. The screening properties, the reliability coefficients, the variance each principal component carried and the sensitivity of an average jump were established by the investigators cited above. Those hold whether or not the Unified Model of Tone is right.

What the model supplies is the reason for putting those readings on one page on one day. It treats tone as a measurable construct rather than a label applied after the fact. In its own words, tone is a quantity one could, in principle, record in two people this afternoon and use to anticipate how differently the same event will land on each of them tomorrow. That sentence describes an appointment.

Sport has already asked the covariance question, and it asked it of the training rather than the athlete. Five training-load measures on 17 professional rugby league players collapsed onto a single component explaining 68 percent of the variance in small-sided games Weaving 2014. Twenty-six metrics from a college soccer season reduced to four components Coppus 2022. Both analyses reduced measures of the work done. Neither touched the state it was done in.

The prediction this page makes

The protocol is the visit as already described, run four times a season, in the same order and at the same time of day. RMSSD in milliseconds from a five minute seated recording. Average countermovement jump height across a set. Reaction-time variability in milliseconds, taken as the spread of the series rather than its mean. Time for those readings to return to their pre-test values after a standardized submaximal load.

Every value is scored against that athlete's own earlier spread on that instrument, which is what the within-player variation of 1.7 to 36.3 percent in the soccer data demands Clubb 2022. Then the four go into the same kind of analysis that has already been run on load metrics.

The model predicts they load onto one factor within athlete rather than four. An athlete whose RMSSD drops across a hard block should show it in the spread of their reaction times. The slower return to pre-test values should appear on the same afternoon, with nothing having gone wrong. This is a claim about how performance is organized rather than a claim about what treatment does.

The instruments already sit in the room and the athletes already sit still for them. The fourth reading is timed after a standardized submaximal load. If RMSSD, average countermovement jump height, reaction-time variability and time to return to pre-test values move together within the same athletes across a season, the unification claim is confirmed.

10The tone reading

What the Assessment Sheet Is Reading

Three signatures of tone show up in readings the performance assessment already takes.

Set point

Every reading on the sheet is a value this athlete defends. Within-player variation ran from 1.7 to 36.3 percent, so the crowd's range says nothing about them.

Input quality

The athlete's own report and the instrument beside it carry different information. The visit records both, and returns both before the athlete leaves the room.

Time course

The visit repeats four times a season. A single reading has no spread, and the spread is what turns a number into a signal about this athlete.

The rest of the library carries the same logic through its other foundations. Coupling is the relationship between readings that a one-instrument sheet cannot show, and it is what a components analysis is measuring when 26 metrics reduce to four. Gain is how far a reading moves for a given amount of work, which is why a jump set is scored on its average rather than its best. Prediction is what an athlete is doing when they estimate their own readiness before any instrument has confirmed it. Load is the submaximal work the fourth reading is timed after. Constraint is what a narrowing spread looks like on the sheet across a season. Oscillation is the beat-to-beat rhythm a seated heart recording samples. The full framework is set out in the Unified Model of Tone.

11Where this sits

How This Page Relates to the Rest of the Library

Seven places the visit hands off, each with the claim that earns the link.

The Functional-Neurology Workup

The battery as a method, with the reliability coefficients and the change a score must clear before it belongs to the athlete.

The Pre-Participation Exam

The clearance appointment that runs alongside this one, with its yield figures and the sudden cardiac screening debate.

Heart Rate Variability

RMSSD methodology and the trials where resting values rose during adaptation and during overreaching alike.

Reaction Time and Motor Control

Why the spread of a reaction-time series reads readiness better than its mean does.

Brain-Based Performance

Quantitative electroencephalography, stated exactly: what a recording measures and what it leaves open.

Return to Play

The decision frameworks that turn a repeated baseline into a staged progression governed by markers rather than dates.

Tone and the Athlete's Edge

The keystone, where the one-variable claim behind this visit is stated in full and given its study design.

12Questions athletes ask

Questions Athletes Ask

What is a performance assessment and what does it actually measure?

A performance assessment is one appointment that records the whole athlete as measured values, in a fixed order. History and prior injury mechanism first, then sport-specific biomechanics, then the neurological layer. That layer holds heart rate variability as RMSSD in milliseconds, reaction time and its variability, oculomotor control, balance under a competing cognitive task, and reflex symmetry read left against right. A countermovement jump set is scored on its average rather than its best. Every finding is written as a number with its units and date.

How is this different from a pre-participation physical?

A pre-participation physical decides whether it is safe to compete, and most of its yield sits in the medical history. The performance assessment assumes clearance and asks a different question. What state is this athlete in today, and what is holding the ceiling down. It records autonomic readings, movement quality under the sport's own demands, and neurological function as numbers rather than impressions. Both appointments are useful, they answer different questions, and the findings from each belong in the same file.

Can a performance assessment predict whether I will get injured?

No, and no other screening test does either. Validating a test that predicts injury takes three demonstrated steps, and no test for sports injury currently has adequate test properties. The most widely used movement screen carries a pooled risk ratio of 1.47 in male military personnel, which its own authors call small and advise against using as a prediction tool. What the assessment produces is a reference line. It says where you sit against your own earlier readings, which is a different question and an answerable one.

Who else sees the results, and how does this work with my team physician?

The record goes to whoever is caring for you, with your consent. Instrument, value, units, date and your own prior value on the same instrument, which is what makes a reading usable by someone who was not in the room. Clearance decisions are multifactorial and co-managed with the team physician, athletic trainer and strength coach from one shared baseline. Cardiac findings go to cardiology and structural red flags go to the appropriate specialist. Referral is instrument selection rather than a retreat.

Why are my readings scored against me instead of a normal range?

Because a population range describes a crowd, and an athlete can sit comfortably inside one while having drifted far from their own baseline. The variation within a single player is also large enough to matter. Across 88 professional soccer players running standardized game formats, within-player variation in total distance ranged from 1.7 to 36.3 percent, and high speed running ran from 51 to 103 percent. The authors conclude that reliability has to be calculated per athlete. Your spread is the reference.

How often should the assessment be repeated?

Four times across a season is the working answer, in the same order and at the same time of day. One pair of readings cannot tell you much about an individual response. Measurement error limits the accuracy of any response estimate, and on a single athlete a poor signal-to-noise ratio cannot be fixed by enlarging the sample. Training efficacy also varies within the same person over time, so repeating a block does not reproduce the response. A series has a spread. One reading has nothing.

Does being assessed improve my recovery or stop me plateauing?

The assessment is a measurement rather than a treatment, and recording a number does not change what it records. What the visit produces is a set of readings taken while you are healthy, scored against your own values, and repeated across the season. Decisions about training load, care and clearance then get made on numbers rather than on how a week felt. The care that follows is drug free and compliant with anti-doping rules, which matters for a competitor under testing.

13The sources

References

1
Bahr R. Why screening tests to predict injury do not work-and probably never will: a critical review. Br J Sports Med. 2016. PMID 27095747
2
Moran RW, Schneiders AG, Mason J, Sullivan SJ. Do Functional Movement Screen (FMS) composite scores predict subsequent injury? A systematic review with meta-analysis. Br J Sports Med. 2017. PMID 28360142
3
Bonazza NA, Smuin D, Onks CA, Silvis ML, Dhawan A. Reliability, Validity, and Injury Predictive Value of the Functional Movement Screen: A Systematic Review and Meta-analysis. Am J Sports Med. 2017. PMID 27159297
4
Claudino JG, Cronin J, Mezencio B, McMaster DT, McGuigan M, Tricoli V, Amadio AC, Serrao JC. The countermovement jump to monitor neuromuscular status: A meta-analysis. J Sci Med Sport. 2017. PMID 27663764
5
Weaving D, Marshall P, Earle K, Nevill A, Abt G. Combining internal- and external-training-load measures in professional rugby league. Int J Sports Physiol Perform. 2014. PMID 24589469
6
Coppus TA, Anderson T, Hurley E, Gill DL, Brown PK. The Practical Utility of Objective Training Load Indices in Division I College Soccer Players. J Strength Cond Res. 2022. PMID 35319003
7
Clubb J, Towlson C, Barrett S. Measurement properties of external training load variables during standardised games in soccer: Implications for training and monitoring strategies. PLoS One. 2022. PMID 35061784
8
Hecksteden A, Kraushaar J, Scharhag-Rosenberger F, Theisen D, Senn S, Meyer T. Individual response to exercise training - a statistical perspective. J Appl Physiol (1985). 2015. PMID 25663672
9
Neupert E, Gupta L, Holder T, Jobson SA. Athlete monitoring practices in elite sport in the United Kingdom. J Sports Sci. 2022. PMID 35694788
10
Saw AE, Main LC, Gastin PB. Monitoring athletes through self-report: factors influencing implementation. J Sports Sci Med. 2015. PMID 25729301
11
Impellizzeri FM, Marcora SM, Coutts AJ. Internal and External Training Load: 15 Years On. Int J Sports Physiol Perform. 2019. PMID 30614348
12
Marshall AN, Lam KC. Research at the Point of Care: Using Electronic Medical Record Systems to Generate Clinically Meaningful Evidence. J Athl Train. 2020. PMID 31935140

12 primary sources, each linked to its record. Figures quoted on this page were checked against the published abstract.

Related evidence

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